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Novel Technological Advances in Functional Connectomics in C. elegans
The complete structure and connectivity of the Caenorhabditis elegans nervous system (“mind of a worm”) was first published in 1986, representing a critical milestone in the field of connectomics. The reconstruction of the nervous system (connectome) at the level of synapses provided a unique perspe...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6630759/ https://www.ncbi.nlm.nih.gov/pubmed/31018525 http://dx.doi.org/10.3390/jdb7020008 |
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author | DiLoreto, Elizabeth M. Chute, Christopher D. Bryce, Samantha Srinivasan, Jagan |
author_facet | DiLoreto, Elizabeth M. Chute, Christopher D. Bryce, Samantha Srinivasan, Jagan |
author_sort | DiLoreto, Elizabeth M. |
collection | PubMed |
description | The complete structure and connectivity of the Caenorhabditis elegans nervous system (“mind of a worm”) was first published in 1986, representing a critical milestone in the field of connectomics. The reconstruction of the nervous system (connectome) at the level of synapses provided a unique perspective of understanding how behavior can be coded within the nervous system. The following decades have seen the development of technologies that help understand how neural activity patterns are connected to behavior and modulated by sensory input. Investigations on the developmental origins of the connectome highlight the importance of role of neuronal cell lineages in the final connectivity matrix of the nervous system. Computational modeling of neuronal dynamics not only helps reconstruct the biophysical properties of individual neurons but also allows for subsequent reconstruction of whole-organism neuronal network models. Hence, combining experimental datasets with theoretical modeling of neurons generates a better understanding of organismal behavior. This review discusses some recent technological advances used to analyze and perturb whole-organism neuronal function along with developments in computational modeling, which allows for interrogation of both local and global neural circuits, leading to different behaviors. Combining these approaches will shed light into how neural networks process sensory information to generate the appropriate behavioral output, providing a complete understanding of the worm nervous system. |
format | Online Article Text |
id | pubmed-6630759 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66307592019-08-19 Novel Technological Advances in Functional Connectomics in C. elegans DiLoreto, Elizabeth M. Chute, Christopher D. Bryce, Samantha Srinivasan, Jagan J Dev Biol Review The complete structure and connectivity of the Caenorhabditis elegans nervous system (“mind of a worm”) was first published in 1986, representing a critical milestone in the field of connectomics. The reconstruction of the nervous system (connectome) at the level of synapses provided a unique perspective of understanding how behavior can be coded within the nervous system. The following decades have seen the development of technologies that help understand how neural activity patterns are connected to behavior and modulated by sensory input. Investigations on the developmental origins of the connectome highlight the importance of role of neuronal cell lineages in the final connectivity matrix of the nervous system. Computational modeling of neuronal dynamics not only helps reconstruct the biophysical properties of individual neurons but also allows for subsequent reconstruction of whole-organism neuronal network models. Hence, combining experimental datasets with theoretical modeling of neurons generates a better understanding of organismal behavior. This review discusses some recent technological advances used to analyze and perturb whole-organism neuronal function along with developments in computational modeling, which allows for interrogation of both local and global neural circuits, leading to different behaviors. Combining these approaches will shed light into how neural networks process sensory information to generate the appropriate behavioral output, providing a complete understanding of the worm nervous system. MDPI 2019-04-23 /pmc/articles/PMC6630759/ /pubmed/31018525 http://dx.doi.org/10.3390/jdb7020008 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review DiLoreto, Elizabeth M. Chute, Christopher D. Bryce, Samantha Srinivasan, Jagan Novel Technological Advances in Functional Connectomics in C. elegans |
title | Novel Technological Advances in Functional Connectomics in C. elegans |
title_full | Novel Technological Advances in Functional Connectomics in C. elegans |
title_fullStr | Novel Technological Advances in Functional Connectomics in C. elegans |
title_full_unstemmed | Novel Technological Advances in Functional Connectomics in C. elegans |
title_short | Novel Technological Advances in Functional Connectomics in C. elegans |
title_sort | novel technological advances in functional connectomics in c. elegans |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6630759/ https://www.ncbi.nlm.nih.gov/pubmed/31018525 http://dx.doi.org/10.3390/jdb7020008 |
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